Spatial profiling technologies illuminate the tumor microenvironment
The tumor microenvironment (TME) is composed of many different cellular and acellular
components that together drive tumor growth, invasion, metastasis, and response to …
components that together drive tumor growth, invasion, metastasis, and response to …
Exploring tissue architecture using spatial transcriptomics
Deciphering the principles and mechanisms by which gene activity orchestrates complex
cellular arrangements in multicellular organisms has far-reaching implications for research …
cellular arrangements in multicellular organisms has far-reaching implications for research …
Benchmarking spatial and single-cell transcriptomics integration methods for transcript distribution prediction and cell type deconvolution
Spatial transcriptomics approaches have substantially advanced our capacity to detect the
spatial distribution of RNA transcripts in tissues, yet it remains challenging to characterize …
spatial distribution of RNA transcripts in tissues, yet it remains challenging to characterize …
Spatially informed cell-type deconvolution for spatial transcriptomics
Many spatially resolved transcriptomic technologies do not have single-cell resolution but
measure the average gene expression for each spot from a mixture of cells of potentially …
measure the average gene expression for each spot from a mixture of cells of potentially …
A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial transcriptomics
Spatial transcriptomics technologies are used to profile transcriptomes while preserving
spatial information, which enables high-resolution characterization of transcriptional patterns …
spatial information, which enables high-resolution characterization of transcriptional patterns …
Spatial components of molecular tissue biology
Methods for profiling RNA and protein expression in a spatially resolved manner are rapidly
evolving, making it possible to comprehensively characterize cells and tissues in health and …
evolving, making it possible to comprehensively characterize cells and tissues in health and …
DestVI identifies continuums of cell types in spatial transcriptomics data
Most spatial transcriptomics technologies are limited by their resolution, with spot sizes
larger than that of a single cell. Although joint analysis with single-cell RNA sequencing can …
larger than that of a single cell. Although joint analysis with single-cell RNA sequencing can …
Statistical and machine learning methods for spatially resolved transcriptomics data analysis
The recent advancement in spatial transcriptomics technology has enabled multiplexed
profiling of cellular transcriptomes and spatial locations. As the capacity and efficiency of the …
profiling of cellular transcriptomes and spatial locations. As the capacity and efficiency of the …
Clinical and translational values of spatial transcriptomics
L Zhang, D Chen, D Song, X Liu, Y Zhang… - … and Targeted Therapy, 2022 - nature.com
The combination of spatial transcriptomics (ST) and single cell RNA sequencing (scRNA-
seq) acts as a pivotal component to bridge the pathological phenomes of human tissues with …
seq) acts as a pivotal component to bridge the pathological phenomes of human tissues with …
[HTML][HTML] Artificial intelligence in pancreatic cancer
B Huang, H Huang, S Zhang, D Zhang, Q Shi, J Liu… - Theranostics, 2022 - ncbi.nlm.nih.gov
Pancreatic cancer is the deadliest disease, with a five-year overall survival rate of just 11%.
The pancreatic cancer patients diagnosed with early screening have a median overall …
The pancreatic cancer patients diagnosed with early screening have a median overall …